Call for Papers

The General IS Topics track welcomes high-quality papers that explore themes not specifically aligned with other tracks or those with broad, cross-thematic scopes. This track is designed to accommodate unique and innovative research, offering additional flexibility across the conference's specialized tracks, whether from an epistemological, ontological, or methodological perspective. Authors are encouraged to verify their paper’s alignment with the topics of other tracks before submitting to this one. Additionally, the General IS Topics track serves as a platform for the chairs of different tracks to submit their manuscripts.

•    Alvaro Arenas, IE University, Spain  Alvaro. 
•    Andreja Pucihar, University of Maribor, Slovenia.

Enhancing human capabilities through artificial intelligence is pivotal for advancing human-machine collaboration. However, there remains a limited understanding of how organizations leverage this potential to drive innovation and improve performance. Despite certain AI systems outperforming humans in various real-world tasks, these algorithms often fall short in areas such as reasoning, creativity, empathy, and practical wisdom. Submissions are welcome that balance the potential advantages of AI with the shortcomings of the technology in specific business sectors and organizational domains.

•    Elise Berlinski, Neoma Business School,
•    Yash Raj Shreshta, University of Lausanne, 
•    Etienne Thenoz, University of Nantes.

Digital transformation – the cumulative changes of an entity morphing into a qualitatively different one due to the digital – is steadily gaining momentum across various industries. Organizations and ecosystems are leveraging digital technologies to innovate their existing business models and collective social action arrangements or create new ones. 

This highlights the critical need to understand how digital technologies enable changes in value creation, capture, and realization; resource exchanges and combinations; the delivery of novel digital products and services; process innovations; the emergence of new digital business models; and ultimately, firm and ecosystem transformation. 

Beyond operational and business model innovations, digital transformation drives deeper shifts in organizational identity, structure, and routines. Organizations undergoing such transformation often engage in strategic realignments, redefining their mission and core values to align with digital imperatives. 

Overall, when these changes result in profound shifts at strategic, structural, and operational levels (e.g., the identity of the organization and the value proposition to consumers), organizational transformation manifests at the firm level or may reconfigure inter-organizational relationships across broader ecosystems.

• Ioanna Constantiou, CBS, 
• Karim Mezghani, University of Sfax, 
• Jean-Loup Richet, Paris Sorbonne.

In an era of constant technological advancement, emerging technologies—ranging from artificial intelligence and blockchain to extended reality and quantum computing—are transforming the way we live, work, learn, and interact. These innovations are not only reshaping industries and economies but also redefining social structures, values, and the human experience. As these technologies evolve, they bring with them immense potential to generate economic and societal value through enhanced connectivity, automation, and human-technology collaboration. Emerging technologies are no longer just tools; they are strategic enablers of innovation and disruption. 

Their integration demands a critical reevaluation of how we understand technology adoption, implementation, and impact across individual, organizational, and societal levels. To effectively harness their transformative potential, we must rethink the prevailing theories, methodologies, and assumptions that guide research on IT/IS innovation, adoption, and use. 

This track invites research that explores the complex dynamics of emerging technologies, offering new theoretical, methodological, and practical insights. We encourage work that goes beyond established IT/IS frameworks, investigates underexplored contexts, and highlights how emerging technologies can co-create value while addressing pressing ecological, ethical, and societal challenges.

• Konstantina Spanaki – Audencia Business School, 
• Femi Olan – Essex Business School, the University of Essex,
• Kayode Odusanya, Loughborough University.

Information systems scholars are invited to engage with foundational questions on the nature and purpose of IS research and theory. This includes critically reflecting on methodological advancements, philosophical foundations, and envisioning breakthroughs that could inspire future scholarly work. 

As an inherently interdisciplinary field centered on digital technologies, IS research is uniquely positioned to examine philosophical (ontological and epistemological) questions about digital phenomena from a diverse range of perspectives. It is also well-suited to adopt innovative methods and approaches, including those powered by AI and machine learning, to explore and analyze these phenomena. 

With AI advancing rapidly and becoming embedded in various societal and technological domains, scholars are invited to consider how AI is reshaping IS research, both through transformative methodologies and evolving philosophical frameworks.

• Lise Arena, Nice University, 
• Jessie Pallud, Strasbourg University, 
• Jeremy Aroles, York University.

We invite submissions on the evolving role of IT in shaping business strategies, processes, and outcomes. This track explores topics such as the strategic impact of digital platforms and ecosystems on business operations, innovative sourcing strategies for IT services and solutions. Outsourcing, insourcing, crowd-sourcing models, platform management, and global IT sourcing arrangements, e.g., cross-border collaborations and risk management, are relevant topics for this track. Emerging technologies such as AI, blockchain, and IoT are being used in platform development and IT sourcing. 

We welcome theoretical, empirical, and methodological contributions that provide novel insights into these areas. Submissions should aim to advance understanding of how organizations can harness IT and digital platforms to drive innovation, enhance decision-making, and achieve competitive advantages

• Spyros Angelopoulos, Univ. of Durham, 
• Luis Silva Rodrigues, ISCAP.

This track is dedicated to exploring the multifaceted ways in which digital technologies enable value creation across industries and societies. As organizations increasingly adopt digital innovations, understanding the mechanisms by which these technologies generate, capture, and deliver value is essential for fostering sustainable growth, innovation, and competitive advantage. We seek high-quality contributions that examine how digital technologies (AI, blockchain, IoT, cloud computing, and advanced analytics) are transforming value creation processes. 

Topics of interest include, but are not limited to, digital business models, resource optimization, digital ecosystems, customer experience enhancement, and operational efficiency. We encourage submissions that explore both theoretical advancements and practical applications, shedding light on how digital technologies can be leveraged to drive new opportunities and address emerging challenges.

• Michelle Cipriano, Catholic University of Sacro Cuore, 
• Eleni Lioliou, Queen Mary Uni. London. 

As digital technologies such as AI, blockchain, IoT, and data analytics permeate every aspect of society, it is crucial to examine their far-reaching implications on individuals, communities, and institutions. This track seeks high-quality contributions that delve into topics such as privacy, equity, accountability, algorithmic bias, digital inclusion, and the societal impacts of technology adoption. 

We also welcome discussions on frameworks for governance, ethical guidelines, and regulatory practices to ensure responsible innovation. Submissions addressing the intersection of technology with culture, social justice, and sustainability are highly encouraged. Papers should aim to advance theoretical, empirical, or practical understanding of how digital technologies influence societal structures and ethical norms. 

We welcome interdisciplinary approaches that connect technology with philosophy, sociology, law, and policy-making to address these critical challenges.

• Caroline Lancelot-Miltgen, Audencia Business School, 
• Florence Rodhain 

As digital innovations continue to reshape industries and societies, addressing their regulatory and ethical challenges has become a critical priority. This track seeks high-quality contributions that examine frameworks for digital technology governance, strategies for regulatory compliance, and methods for mitigating risks associated with emerging technologies. 

Topics of interest include regulatory approaches to AI and data privacy, cross-jurisdictional challenges in global technology governance, ethical considerations in technology deployment, and the role of standards in ensuring accountability and transparency. 

We encourage submissions that provide theoretical, empirical, or interdisciplinary insights into these pressing issues. Papers exploring practical tools, policy recommendations, and case studies highlighting successful governance and compliance practices are especially welcome.

• Jonathan Seddon, Audencia Business School 
• Stefano Za, Univ. of Chieti-Pescara, 

In today’s digital world, a critical contest unfolds between cyber attackers and defenders. As technologies such as cloud computing, AI, and digital payment systems evolve, adversaries continuously adapt their strategies, exploiting vulnerabilities like weak password practices in cloud environments. 

Organizations must remain vigilant, developing robust defenses to mitigate these threats and address challenges shaped by emerging technologies, including regulatory changes, behavioral considerations, and privacy concerns. AI is revolutionizing cybersecurity.

Attackers harness its capabilities to scale phishing campaigns, deploy sophisticated malware, and automate breaches, while defenders leverage it for real-time threat detection, anomaly tracking, and rapid response. AI’s rapid development raises serious concerns about data privacy and risk management. Policymakers, business leaders, and citizens face the challenge of balancing innovation while minimizing risks.

• Tawfiq Alashoor, IESE Business School,  
• Yves Barlette, Montpellier Business School,  
• Wafa Bouaynaya-Werwinski, Excelia Group.